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Stanford Hackathon project that models user health data and gives them relevant notifications

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yusuf-quddus/Health.AI

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Health - AI Application

Health - AI uses probabilistic models to understand the variation of health metrics and inform patients about their health. The application uses dynamic visualisations and probabilistic multinomial regression to model historical datasets and then identify anomalies. It also makes intelligent suggestions to the patients and notifies users of abnormalities based on historical data and predictive values.

Live Demo

To see the app in action, go to http://tinyurl.com/health-ai

Deploying the application

Step 1. Clone the repository using the command:

git clone https://github.com/sohitmiglani/health_ai

Step 2. CD into the cloned repository and run the command:

cd health-ai
./deploy.sh

The application is now functioning on your local computer server. Go to a browser and log into 'localhost:5000' to start working with your application.

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Stanford Hackathon project that models user health data and gives them relevant notifications

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